Jump to content

Machine Learning Glossary: Difference between revisions

Line 19: Line 19:
==E==
==E==
* Early stopping - a technique where you stop training once the validation loss begins increasing. This is not as used these days with large models.
* Early stopping - a technique where you stop training once the validation loss begins increasing. This is not as used these days with large models.
* Early exitting - a technique to optimize neural network inference by routing features directly to an output head instead of through the entire model.


==F==
==F==